{"id":"W2980029776","doi":"10.5281/zenodo.3554673","title":"Editorial Acknowledgments and Introduction to the Special Issue for the EDM Journal Track","year":2019,"lang":"en","type":"article","venue":"Educational Data Mining","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Library science; Editorial board; Publication; Computer science; Operations research; Engineering; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009392004,0.001979638,0.001759528,0.00467472,0.003471365,0.009071988,0.002078574,0.004991135,0.08281295],"category_scores_gemma":[0.04512609,0.0007842391,0.00201864,0.001944304,0.001157717,0.003949183,0.002606039,0.006958328,0.05256037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002299734,"about_ca_system_score_gemma":0.004516732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008522353,"about_ca_topic_score_gemma":0.002736462,"domain_scores_codex":[0.9933782,0.0008099357,0.0008980604,0.0007345998,0.003649798,0.0005293536],"domain_scores_gemma":[0.9307524,0.007238869,0.00411743,0.002043032,0.04548296,0.01036533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003356244,0.00001447027,0.00006333556,0.0001185522,0.000004491753,0.00004919134,0.00001421857,0.00001495663,0.0001134548,0.0002210829,0.9911013,0.008251484],"study_design_scores_gemma":[0.00002252202,0.00004005412,0.0003477316,0.0002208294,0.00001259689,0.0001368292,0.0000601354,0.00008895094,0.0001931144,0.0006450957,0.9982158,0.00001640698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008007057,0.001003432,0.0003679746,0.01891521,0.9769561,0.00004671313,0.0001350749,0.0001041213,0.002391335],"genre_scores_gemma":[0.001082883,0.002067385,0.0007331101,0.01100028,0.9502441,0.00008275884,0.000342311,0.0002657705,0.03418127],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08281295,"threshold_uncertainty_score":0.2770369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591495320947732,"score_gpt":0.2988800628710742,"score_spread":0.2829651096615969,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}